Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -2.1 * weight + 185
This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
Forke
1
78 kgBommel
2
75 kgArndt
3
77.5 kgSelig
4
80 kgBēcis
6
82 kgBenčík
15
73 kgSkujiņš
19
70 kgFlaksis
24
79 kgKrizek
26
74 kgLisowicz
29
85 kgMahďar
34
61 kgTybor
35
72 kgKiendyś
36
78 kgCharucki
44
64 kgCieślik
48
65 kgRomanik
52
62 kgHaller
60
72 kgGaebel
64
68 kgKönig
71
62 kgNagy
72
52 kgWerda
75
66 kgKomar
81
73 kg
1
78 kgBommel
2
75 kgArndt
3
77.5 kgSelig
4
80 kgBēcis
6
82 kgBenčík
15
73 kgSkujiņš
19
70 kgFlaksis
24
79 kgKrizek
26
74 kgLisowicz
29
85 kgMahďar
34
61 kgTybor
35
72 kgKiendyś
36
78 kgCharucki
44
64 kgCieślik
48
65 kgRomanik
52
62 kgHaller
60
72 kgGaebel
64
68 kgKönig
71
62 kgNagy
72
52 kgWerda
75
66 kgKomar
81
73 kg
Weight (KG) →
Result →
85
52
1
81
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FORKE Sebastian | 78 |
| 2 | BOMMEL Henning | 75 |
| 3 | ARNDT Nikias | 77.5 |
| 4 | SELIG Rüdiger | 80 |
| 6 | BĒCIS Armands | 82 |
| 15 | BENČÍK Petr | 73 |
| 19 | SKUJIŅŠ Toms | 70 |
| 24 | FLAKSIS Andžs | 79 |
| 26 | KRIZEK Matthias | 74 |
| 29 | LISOWICZ Tomasz | 85 |
| 34 | MAHĎAR Martin | 61 |
| 35 | TYBOR Patrik | 72 |
| 36 | KIENDYŚ Tomasz | 78 |
| 44 | CHARUCKI Paweł | 64 |
| 48 | CIEŚLIK Paweł | 65 |
| 52 | ROMANIK Radosław | 62 |
| 60 | HALLER Marco | 72 |
| 64 | GAEBEL Stefan | 68 |
| 71 | KÖNIG Leopold | 62 |
| 72 | NAGY Robert | 52 |
| 75 | WERDA Maximilian | 66 |
| 81 | KOMAR Mateusz | 73 |